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English(EN) I Tested Nex-N2-Pro — A Free Open-Source Model That's Matching GPT-5.5 on Coding Benchmarks

Nex AGI 发布免费开源模型,在编码方面可媲美 GPT-5.5

Nex AGI 发布了 Nex-N2-Pro,这是一款基于 Qwen3.5 的免费开源模型。该模型拥有 3970 亿参数,其中 170 亿活跃参数,并具备“自适应思考”能力,可根据任务复杂性调整推理深度。Nex-N2-Pro 在编码基准测试中取得了高分,并提供 262,144 个 token 的大上下文窗口,使其适用于复杂的软件工程任务和代理工作流。 AI

影响 为开源编码模型和代理工作流树立了新标杆。

排序理由 新的开源模型发布,并声称具有基准性能。[lever_c_demoted from frontier_release: ic=1 ai=1.0]

在 dev.to — LLM tag 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

Nex AGI 发布免费开源模型,在编码方面可媲美 GPT-5.5

本文如何被排名

Signal score
0 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Significant
新的开源模型发布,并声称具有基准性能。[lever_c_demoted from frontier_release: ic=1 ai=1.0]
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
model release, product
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
91 days old
Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

完整方法见我们的编辑标准

报道来源 [1]

  1. dev.to — LLM tag TIER_1 English(EN) · Divyesh ·

    我测试了 Nex-N2-Pro — 一款免费开源模型,在编码基准测试中可媲美 GPT-5.5

    <blockquote> <p><strong>TL;DR:</strong> Nex-N2-Pro by Nex AGI is a free, open-source MoE model (397B params, 17B active) built on Qwen3.5. It scores 75.3 on Terminal-Bench 2.1 — top-3 globally, open or closed — and introduces "Adaptive Thinking" that dynamically scales its reason…